Abstract
Real-world evidence (RWE) plays an important role in the management of type 2 diabetes (T2D). It provides data about the effectiveness and safety of an intervention from outside the randomised controlled trial (RCT) setting and allows healthcare professionals (HCPs) to determine if RCT data are applicable to their patients in routine clinical practice. This review provides a discussion of the value of RWE in T2D management in day-to-day clinical practice, with a focus on RWE with sulfonylureas (SUs), and presents two examples of a new generation of international real-world studies in people with T2D managed in routine clinical practice. RWE plays a valuable role in advising HCPs in the day-to-day management of T2D, informing regulatory authorities with regard to pharmacovigilance and post-approval updates, and providing insights with regard to patients’ treatment adherence and preference. RWE should be used alongside RCTs to increase HCP awareness and understanding of their patients’ perspectives, potentially allowing for improvements in treatment adherence, glycaemic control and health-related quality of life (HRQoL). In addition, real-world studies must be conducted in a way that generates robust RWE by limiting the risks of bias and confounding as much as possible. A growing body of RWE is emerging from Asia. For example, in a preliminary HRQoL analysis of the Joint Asia Diabetes Evaluation (JADE) Register, Asian people with T2D had better HRQoL with gliclazide-based treatment than with other SU agents, despite being older and having more diabetes-related complications.
Avoid common mistakes on your manuscript.
Real-world evidence (RWE) provides healthcare professionals (HCPs) with important information on the applicability of randomised controlled trial (RCT) data to their patients with type 2 diabetes (T2D) in routine clinical practice. |
RWE has an important role in advising HCPs about optimal management of T2D and providing insights on patients’ preference and adherence; these data complement RCT data in informing regulatory authorities on pharmacovigilance, drug approval and post-approval updates. |
International real-world studies with sulfonylureas (SUs) include the JADE Register, which showed that gliclazide-based treatment was associated with improved health-related quality of life compared with other SU agents in Asian people with T2D. |
Introduction
Clinical evidence for disease management can be generated by different types of studies, including randomised controlled trials (RCTs) and, in the case of type 2 diabetes (T2D), cardiovascular outcome trials (CVOTs) [1]. Recently, there has been growing recognition of the value of real-world evidence (RWE), derived from analysis of data gathered from real-world studies, such as observational retrospective and prospective studies and pragmatic randomised trials [2]. The main difference between RCTs and RWE is that an RCT asks, “can it work?”, whereas a real-world study asks, “does it work?” [1].
RCTs evaluate drug efficacy under carefully controlled conditions in highly selected populations to maximise internal validity, but at the expense of limited external validity (i.e. information generalisable to a broad patient group). These RCTs often exclude people of advanced age and those with multiple comorbidities receiving concomitant medications [3]. As a result of the low background rate of cardiovascular events, populations in CVOTs are enriched by high-risk individuals. In addition to people without diabetic complications, who form the vast majority of those with T2D, young people with T2D are often excluded from CVOTs despite their high lifetime risk for premature mortality and morbidity due to long disease duration [4]. In routine clinical practice, there is considerable heterogeneity in terms of phenotype, trajectory and treatment response. This is further influenced by individuals’ access to care, medications and support, as well as adherence, values and preferences [5]. Real-world studies collect data from outside the RCT setting, providing information about the effectiveness and safety of a treatment, as well as its value and cost-effectiveness, in clinical practice [6]. In prospective cohort studies that collect detailed participant data, RWE might allow the comparison of two treatments using propensity score matching [7], which can complement results from RCTs or reveal differences in safety or effectiveness of various drugs within the same class [8].
Apart from clinical events, real-world studies may provide data on patient-reported outcomes (PROs; e.g. treatment adherence, health-related quality of life [HRQoL] and psychosocial factors), financial burden of disease, healthcare resource utilisation and treatment cost-effectiveness. Thus, RWE allows healthcare professionals (HCPs) to assess if RCT data are applicable to their patients and whether the treatment works in routine clinical practice [9], considering the totality of the evidence from all sources.
This review article provides a discussion of the complementary value of real-world data in guiding routine clinical practice and informing regulatory decisions, focusing on RWE with sulfonylureas (SUs), and presents two examples of a new generation of RWE of SU therapy in people with T2D. This article is based on the content of a symposium titled “When Practice Meets Evidence: New Data on Sulphonylureas from Real-World Evidence”, which was presented at the International Diabetes Federation (IDF) World Diabetes Congress on 6 December 2022 in Lisbon, Portugal. The symposium was based on previously conducted studies and did not contain any new studies with human participants or animals performed by any of the authors.
What is RWE?
There are several types of real-world studies, including pragmatic research and prospective or retrospective observational studies (Table 1; Fig. 1) [10,11,12]. Pragmatic clinical trials offer an intermediate design between the strict control of an RCT and uncontrolled observational research. In these real-world studies, enrolled participants are prescribed treatment per guidelines or protocol, or per preference of prescribers or participants, but the follow-up schedules more closely resemble clinical practice than in an RCT (Table 1) [12, 13]. An example of this type of research is the TOSCA.IT study, which showed that SU therapy and pioglitazone were associated with a similar incidence of cardiovascular events when added to metformin in people with T2D [14].
As digital technology becomes standard in medical practice, there is an increasing opportunity to source real-world data from electronic health records, health insurance claims databases, regional or national registers, census data and the individual’s own digital health devices [15]. Such data may be utilised in a range of different studies (Fig. 1), providing valuable RWE at a lower cost than RCTs. However, real-world studies may be subject to selection bias, data quality issues (e.g. unstructured or incomplete data collection), differences in outcome definitions, confounding factors and interpretability [10, 11].
Data collected after completion of RCTs can also be a source of real-world data. For example, the United Kingdom Prospective Diabetes Study (UKPDS) continues to report ongoing evidence regarding the benefits of early and intensive glycaemic control on major diabetes and cardiovascular events and death rates after 10 years of post-RCT real-world follow-up in people with T2D [16]. As reported in a symposium at the European Association for the Study of Diabetes (EASD) 2022 Annual Meeting [17], the legacy effects of early intensive glycaemic control (with SUs, insulin or metformin) persist after 44 years of follow-up, demonstrating the importance of effective glycaemic control from immediately after T2D diagnosis to reduce the risk of micro- and macrovascular complications.
The Value of RWE in Type 2 Diabetes Management
The value of RWE in managing people with T2D can be classified into three main categories. Firstly, RWE provides HCPs with information and meaningful insights into the epidemiology, natural history and prevention of the disease, as well as the effectiveness and safety of an intervention. Secondly, data from RWE inform regulatory authorities on long-term drug safety, and increasingly it also informs the clinical decision-making process over the life cycle of the drug. Lastly, RWE can provide insights on patients’ perspectives that are not routinely captured in RCTs and might be subject to selection and volunteer bias in an RCT setting.
Informing HCP Decision-Making in Managing People with Type 2 Diabetes
RWE can provide HCPs with information regarding the applicability of RCT data in the day-to-day management of people with T2D. The current American Diabetes Association (ADA) and EASD guidelines for T2D largely focus on the identification of individuals with comorbid atherosclerotic cardiovascular disease (ASCVD), heart failure (HF) or chronic kidney disease (CKD), and recommend treatment with sodium–glucose cotransporter 2 inhibitor (SGLT2i) and glucagon-like peptide-1 receptor agonist (GLP-1RA) in these high-risk patients [18, 19]. In these guidelines, SUs are listed as high-efficacy agents that can be incorporated into combination glucose-lowering drug (GLD) regimens, taking into account the patient’s cardiovascular risk, the likelihood and impact of hypoglycaemia and weight gain, and the patient’s ability to pay (since they are inexpensive compared with SGLT2is or GLP-1RAs) [18, 19].
The guideline recommendations for first-line use of SGLT2is and GLP-1RAs are based on data obtained from CVOTs [18, 19]. In most RCTs, investigators must follow the study protocol when managing their patients, whereas in clinical practice, HCPs can personalise treatment for each individual. Real-world studies indicate that many people with T2D treated in routine clinical practice would not be eligible for inclusion in the SGLT2i and GLP-1RA CVOTs [20, 21]. In the real-world, international DISCOVER study [20], which included 11,385 people with T2D who were initiated on second-line GLD therapy, the proportion who were eligible for inclusion in the SGLT2i CVOTs ranged from 7% for the EMPA-REG OUTCOME [22] and VERTIS-CV [23] studies to 20% for the CANVAS study [24] and 41% for the DECLARE TIMI-58 study [25]. In a real-world National Health and Nutrition Examination Survey (NHANES) database analysis of 20,142 people with T2D in the USA [21], 53–94% did not meet the inclusion criteria for the GLP-1RA CVOTs (i.e. the EXSCEL, SUSTAIN-6, LEADER, HARMONY OUTCOMES, REWIND and ELIXA studies [26,27,28,29,30,31]).
RWE also indicates that the clinical guideline algorithms do not address the treatment needs of many people with T2D. In a cohort study of 13,350 adults with T2D in primary care, 63% did not meet ADA 2021 criteria for treatment with SGLT2is or GLP-1RAs [32]. For these people with T2D who do not qualify for SGLT2i or GLP-1RA therapy, individual phenotypes derived from RWE may help personalise treatment, and assist in the move towards precision medicine in T2D management [33].
Real-world studies, when combined with data from RCTs and pragmatic clinical studies, can also inform HCPs on the comparative safety and effectiveness of commonly used second-line GLDs (e.g. SUs and dipeptidyl peptidase 4 inhibitors [DPP4is]), particularly among people with T2D who do not have ASCVD, HF or CKD. For example, the CAROLINA RCT compared the efficacy and safety of glimepiride (an SU) and linagliptin (a DPP4i) in people with T2D and ASCVD or high cardiovascular risk [34]. This study demonstrated equivalent glycaemic control and no difference in major adverse cardiovascular events between the two drugs, although the rates of hypoglycaemia (including severe hypoglycaemia) were higher with glimepiride [34].
The randomised, pragmatic GRADE study compared the effectiveness of four commonly used GLDs (i.e. insulin glargine, glimepiride, liraglutide and sitagliptin) when added to background metformin therapy in 5047 people with T2D [35]. In this study, participants who received glimepiride were 21% less likely to have a glycated haemoglobin (HbA1c) of ≥ 7% (> 53.0 mmol/mol; p ≤ 0.001) and 16% less likely to have an HbA1c of ≥ 7.5% (≥ 58 mmol/mol) over 5 years compared with those who received sitagliptin [35]. The rate of severe hypoglycaemia was low with both drugs, with higher rates observed with glimepiride versus sitagliptin (2.2% vs 0.7%; p ≤ 0.001) [35].
In a real-world UK Clinical Practice Research Datalink (CPRD) database study of people with T2D initiated on second-line GLD therapy with either gliclazide modified-release (MR) or sitagliptin, gliclazide MR-treated participants were more likely to achieve an HbA1c of < 7% (< 53.0 mol/mol) than sitagliptin-treated participants, although the rates of hypoglycaemia, including severe hypoglycaemia, were similarly low in both treatment groups [7]. This difference between the RCT and real-world study may be due to residual confounders not captured in these studies or molecular differences between the two SU (glimepiride and gliclazide MR) or DPP4i (linagliptin and sitagliptin) agents. In addition, there are differences in the definition of hypoglycaemia between RCTs and real-world studies, with many RCTs requiring a measured blood glucose level, and real-world studies defining hypoglycaemia as self-reported events requiring self-treatment, with or without confirmation of blood glucose levels [36, 37]. The CAROLINA study, which enrolled a large proportion of people aged > 70 years with CKD, used force-titration of glimepiride treatment [34]. These characteristics and treatment strategies might have exaggerated the rate of hypoglycaemia with glimepiride when used in real-world practice, as many HCPs would not have used glimepiride at these high doses in elderly people with CKD.
The real-world DIA-RAMADAN study provides more information about the safety of gliclazide MR in people with T2D at particularly high risk of hypoglycaemia during the Ramadan period [38]. The ADA/EASD guidelines state that use of SU is associated with an increased risk for hypoglycaemia [18], but these guidelines were based on data from all SUs, including first-generation agents. In the DIA-RAMADAN study of 1214 people who practised prolonged fasting during Ramadan, gliclazide MR (a second-generation SU) was associated with a low rate of confirmed hypoglycaemia (1.6%), with no reports of severe hypoglycaemia, as well as improved glycaemic control and reduced body weight gain after 4–6 weeks compared with baseline [38]. These findings have important implications for a large global population of people with T2D who undergo periodic fasting during Ramadan.
Informing Regulatory Authorities
Historically, regulatory authorities have relied on RWE for pharmacovigilance (i.e. monitoring long-term safety after drug approval), but RWE is increasingly used to inform practice and policies. One example of the role of real-world pharmacovigilance data is to untangle the relationship between cancer risk and GLDs. For example, RCTs and a meta-analysis of RCT data found no increased risk of cancer with DPP4is [39,40,41,42]. In addition, a 2020 analysis using RWE with systematically collected data showed that DPP4i therapy was not associated with an increased risk of cancer compared with thiazolidinediones [43]. However, a population-based study in France demonstrated that the risk of thyroid cancer (including medullary thyroid carcinoma) was increased among participants who received GLP-1RAs for more than 1 year or DDP4is for more than 3 years [44]. These latter data were consistent with reports from the EudraVigilance database [45] and the World Health Organization (WHO) VigiBase [44]. An increased risk of bladder cancer has also been reported with pioglitazone in various meta-analyses [46,47,48], although careful analysis of RCT data with adjustment for baseline characteristics did not confirm these findings [49].
The risk association between diabetes, GLDs and cancer is a source of continuing controversy, as chronic hyperglycaemia affects multiple biological pathways that might lead to dysregulation of cellular growth [50]. RWE from registers with comprehensive documentation of confounders at baseline and follow-up has revealed an independent association between glycaemic variability and an increased cancer risk, especially in the presence of obesity [51]. Given that many new GLDs are added as third- or fourth-line treatment in people with long disease duration and poor glycaemic control, insufficient documentation of confounders might lead to erroneous conclusions regarding the risk of cancer. Indeed, using RWE, drugs such as metformin and renin–angiotensin–aldosterone system inhibitors have been shown to be associated with a reduced risk of all-site cancer with biological plausibility [52, 53]. This reinforces the importance of establishing patient registers with structured collection of confounders (e.g. disease duration, obesity and control of cardiometabolic risk factors) to enable more effective matching (e.g. by propensity scores), particularly during the evaluation of clinical outcomes in people with multiple comorbidities treated with concomitant medications, such as those with T2D. Such registers are particularly important for evaluating outcomes like cancer that emerge only after long disease duration. Indeed, cancer is now a leading cause of death among people with T2D [5].
Beyond pharmacovigilance, regulatory authorities worldwide are moving towards using RWE to support drug registration. In Europe, Bakker and colleagues examined the use of RWE in regulatory applications submitted in 2018–2019 to support European Medicines Agency (EMA) new marketing authorisation and extension of indication applications [54]. Of the 46 applications to the EMA accompanied by RWE, 26 applications included this information in the preauthorisation package and RWE was considered to have supported the regulatory decision for 10 applications [54].
In 2016, the US government passed the “21st Century Cures Act”, which compels the US Food and Drug Administration (FDA) to use RWE to speed up the process of approving new drug applications and extending the indications of existing products [55]. Within the FDA’s new regulatory framework, RCT data remain the benchmark for new drug approvals, but after approval, RWE inform regulatory decisions regarding the extension of indication to additional populations of patients who may benefit from treatment, and the addition or modification of dosage recommendations. Comparative effectiveness or longer-term safety data based on RWE might also be included in the product packaging information [56].
Providing Insights on Patients’ Perspectives
RCTs cannot provide unbiased data regarding adherence to treatment, as RCT participants are more likely to adhere to treatment than those treated in clinical practice. This is the so-called Hawthorne effect, whereby the individual’s behaviour changes once they are enrolled in a clinical trial [57]. Adherence rates in RCTs typically exceed 80%, although RWE suggests that treatment adherence is considerably lower in clinical practice. In a meta-analysis of RWE, only 22% of studies had adherence rates of 80% or higher [58]. In the observational, retrospective STAY Study, people with T2D treated with once-weekly or daily GLP-1RAs had 1-year adherence rates between 31% and 43% [59]. A subsequent meta-analysis of RCT data and RWE similarly reported a mean rate of poor adherence of 38% among people with T2D [60]. These low rates of treatment adherence would negatively impact HbA1c levels and contribute to the poor glycaemic control, despite the prescription of GLDs confirmed to be efficacious in closely supervised settings.
Patient preference is an important consideration in T2D management, yet there is often discordance between what HCPs and their patients want from treatment. In a mixed-methods study comprising interviews of HCPs and their patients with T2D, the patients preferred oral GLDs (rather than injectable therapy), ideally administered once daily, and were less concerned about the cost of medications compared with HCPs [61]. With regard to outcomes, the patients were more likely than HCPs to rate blood pressure reduction and lower risk for amputation, diabetic retinopathy, stroke or sexual dysfunction as being important. In contrast, the HCPs were more likely to rate lower risks of hypoglycaemia and mortality and reductions in HbA1c and body weight as being important [61]. These findings illustrate the need for more alignment between HCPs and their patients on important outcomes for T2D management. Better understanding by HCPs of their patients’ values, preferences and perspectives will likely improve patient adherence and treatment decision-making.
HRQoL is an important element of holistic disease management advocated by the latest ADA/EASD guidelines [18]. Given its importance in people with T2D, HRQoL should be an essential measurement in RCTs and real-world studies. However, there are very few real-world databases that routinely collect HRQoL information. A few studies have reported suboptimal HRQoL in people with T2D [62, 63] and prediabetes [64], with further decrement in the presence of multiple comorbidities [65]. To date, there have been few large-scale real-world studies on treatment-related HRQoL, so the preliminary results from the Joint Asia Diabetes Evaluation (JADE) Register (discussed below) will provide important information to help HCPs make better decisions in the management of their patients.
The Need for International RWE in Type 2 Diabetes
Diabetes is a global burden affecting an estimated 537 million adults worldwide in 2021, with this number projected to increase to 784 million by 2045 [66]. According to the IDF, 6.7 million premature deaths in 2021 were attributed to diabetes or its related complications [66].
RWE indicates that many people with T2D have suboptimal glycaemic control due to delayed intensification of glucose-lowering treatment. For example, in the real-world, prospective DISCOVER study in people with T2D initiated on second-line treatment, 80% of participants had an HbA1c of > 7.0% (> 53.0 mmol/mol), with a mean level of 8.3% (67.7 mmol/mol). The mean time from diagnosis to second-line GLD therapy intensification ranged from 4.6 years in Southeast Asia to 6.9 years in Africa (overall mean of 5.6 years) [67]. At the time of treatment escalation, mean HbA1c levels were > 8.0% (> 64.0 mmol/mol) in all regions and macrovascular or microvascular complications were present in 12.7% and 18.9% of participants, respectively [67]. This therapeutic inertia might explain why people with T2D often have inadequate glycaemic control, despite the availability of effective GLDs, and calls for more effective strategies to reduce clinical inertia and improve glycaemic control early [68].
As described above, real-world studies can address gaps in knowledge related to real-world treatment patterns and the effectiveness of T2D treatment. That being said, these studies must be conducted in a way that limits confounding factors, while reflecting clinical practice conditions, to minimise the risk of bias [10, 11]. A 2020 review of real-world studies in diabetes from around the world indicated that 71% of studies included at most 500 participants, and only 25% were conducted in primary care [69].
The two real-world studies described below provide examples of research conducted outside North America and Europe, demonstrating how well-conducted real-world studies can complement RCT research to answer specific questions related to the role of SU in the management of T2D.
The Real-World ADD2DIA Study: Gliclazide MR Plus SGLT2I in Type 2 Diabetes
Rationale
As a result of the progressive nature of T2D, single-agent GLD therapy often cannot provide adequate glycaemic control. As such, clinical practice guidelines recommend initiating treatment with combination therapy to attain early glycaemic control, improve glycaemic durability and delay treatment escalation [18, 19]. GLDs with complementary mechanisms of actions may act synergistically to address different biological defects in T2D. One example is the combined use of gliclazide, an SU [70], and an SGLT2i, which increases urinary elimination of glucose [71].
The hypothesis of the ADD2DIA study was based on the benefits of adding an SGLT2i to background SU therapy. The efficacy of this combination was supported by a meta-analysis of 24 RCTs in people with T2D [72]. In this meta-analysis, all GLDs improved glycaemic control when added to SU therapy, albeit with an increased risk of hypoglycaemia for most combinations except for SU + SGLT2i and SU + alpha-glucosidase inhibitor therapy. Further, in people treated with an SU, the addition of an SGLT2i or GLP-1RA reduced body weight compared with placebo, an effect that was not observed with other GLDs [72].
Study Design and Objectives
The ongoing international ADD2DIA study is being conducted in 25 centres across six countries (Brazil, China, Philippines, Russia, Saudi Arabia and Turkey), with a planned enrolment of 750 people with T2D (full details presented as a poster at the IDF World Diabetes Congress, 2022) [73]. The objective of the ADD2DIA study is to describe the effectiveness of adding an SGLT2i to gliclazide-based therapy (± metformin) in people with T2D, as measured by changes in HbA1c from baseline to the end of the study. The study is collecting data from adults diagnosed with T2D for at least 2 years and treated with gliclazide MR (≥ 60 mg/day) and an SGLT2i for at least 60 days. Other outcomes include adverse events of special interest, including hypoglycaemia, diabetic ketoacidosis and urinary tract infections. The relationship between combination therapy and the incidence of major cardiac events (including HF) and progression of kidney disease will also be explored [73].
The study design includes two components: a retrospective part (i.e. clinical outcomes) and a prospective part (i.e. patient survey and interview; Fig. 2). Retrospective data are collected from the index date (i.e. initiation of SGLT2i therapy) and included participants’ disease history, comorbidities and concomitant medications before and after starting SGLT2i therapy. The prospective part of the study collects participants’ experience and satisfaction with gliclazide MR plus SGLT2i combination therapy [73].
Preliminary Results
To date, no data from the ADD2DIA study have been published. However, preliminary results of an interim analysis of the Saudi cohort suggest that the combination of gliclazide MR plus SGLT2i is effective and safe over 2 years in patients with long-standing poorly controlled T2D and multiple cardiovascular risk factors (personal communication). Further results are awaited with interest.
The Real-World JADE Register: SU and HRQoL in Asian People with Type 2 Diabetes
According to the IDF, nearly 50% of people with diabetes come from Asia [66], although there is a paucity of data on disease and treatment patterns, as well as treatment responses, in this large population. The JADE Register is an investigator-initiated regional program that commenced in 2007 with an aim to promote quality improvement and provide data-driven patient-centred care supported by more than 300 HCPs [8]. It uses a web-based platform that includes a structured protocol to allow for assessment of risk factors and complications (i.e. related to the eyes, feet, blood and urine), in accordance with international guidelines. This allows for stratification of patient risk and the creation of personalised reports to empower self-management, early intervention and shared decision-making between HCPs and their patients [8]. Data are automatically de-identified upon participant enrolment to benchmark performance and generate RWE regarding treatment effectiveness and unmet needs in Asian people with T2D. To date, the JADE Register has recruited more than 100,000 Asian people with T2D from 11 countries [8, 74].
A recent analysis of the JADE Register included a report of the pattern of use of oral GLDs, as well as the effectiveness and safety of SU-based treatment in Asian adults with T2D (N = 62,512; Fig. 3) [8]. Among participants treated with oral GLDs (n = 54,783), 59.4% were treated with SU-based treatment; of those receiving an SU (n = 32,558), 46.7% were treated with gliclazide, with some variability amongst countries [8].
In the SU-treated group, gliclazide-treated participants (n = 12,078) were older and had a longer disease duration, lower HbA1c and lower body mass index (BMI) than participants treated with other SUs (n = 13,615) [8]. Apart from having a lower HbA1c, gliclazide-treated participants had lower rates of hypertension, dyslipidaemia and peripheral sensory neuropathy than those receiving other SUs. As a result of their older age and longer disease duration, gliclazide-treated participants were more likely to have diabetes-related complications (i.e. diabetic retinopathy, CKD and coronary artery disease) [8]. In the SU-treated group, logistic regression analysis showed that gliclazide-treated participants had a higher likelihood of achieving an HbA1c of < 7% (< 53.0 mmol/mol; adjusted odds ratio [aOR] 1.09; 95% confidence interval [CI] 1.02–1.17; p = 0.014) and a lower likelihood of self-reported hypoglycaemia in the prior 3 months (aOR 0.81; 95% CI 0.72–0.92; p = 0.001) compared with those receiving other SU drugs [8].
These results differ from the results of RCTs and meta-analyses, which show similar HbA1c-lowering with gliclazide and other SUs [75,76,77]. The JADE authors speculated that ethnicity-related pharmacogenetic factors and the risk profile of the gliclazide-treated participants were the reasons for the superior effectiveness of gliclazide in the register [8].
HRQoL in the JADE Register
The JADE Register, designed to improve quality of care, is one of the few real-world studies to assess HRQoL in people with T2D. This is in contrast to other real-world studies, which are often based on administrative databases, that do not have a prespecified structure for data collection. In the JADE Register, HRQoL was assessed using the EuroQoL-5 Dimensions-3 Levels (EQ-5D-3L), a validated and widely used tool that provides a standardised measure of HRQoL [78]. The EQ-5D-3L includes five domains (i.e. mobility, self-care, usual activities, pain/discomfort and anxiety/depression), each of which has three levels (i.e. ‘no problems’, ‘some problems’ or ‘extreme problems’). The HRQoL analysis (full details presented as a poster at the IDF World Diabetes Congress, 2022) included 47,895 people with T2D who completed the EQ-5D-3L questionnaire, of whom 25,693 were receiving SU therapy (Fig. 3) [79].
In the preliminary HRQoL analysis, gliclazide-treated participants were more likely to report ‘no problems’ for the mobility, self-care, usual activities, pain/discomfort and anxiety/depression EQ-5D-3L domains than those receiving other SU agents (Fig. 4a) [79]. Similarly, gliclazide-treated participants were less likely to report any problems (i.e. ‘some problems’ or ‘extreme problems’) than non-gliclazide-treated participants across all five EQ-5D-3L domains (Fig. 4b). Amongst all SU-treated participants, the most frequently reported problems were related to the pain/discomfort and anxiety/depression domains [79]. These two negatively affected domains were also reported among people with T2D in a previous study [62].
In summary, in the preliminary analysis of the JADE Register, Asian people with T2D who received gliclazide-based regimens had better HRQoL than those receiving other SU agents, despite being older and having more diabetes-related complications. This might be due to the lower HbA1c levels, reduced risk of hypoglycaemia and lower rates of hypertension, dyslipidaemia and peripheral sensory neuropathy in the gliclazide group versus other SU-treated participants, in addition to the known differences in molecular structure and pharmacokinetic or pharmacodynamic properties amongst different SU agents [80,81,82].
Conclusions
Current ADA/EASD guidelines are based on the results of RCTs, but many real-world patients do not meet eligibility criteria for these studies. RWE plays an important role in the management of T2D by helping HCPs assess the effectiveness and applicability of GLDs use in routine clinical practice, and providing insights into patients’ adherence, HRQoL and preferences. From a regulatory perspective, RWE continues to play an important role in monitoring longer-term safety but is starting to play a larger role in the approval and extension of indications for GLDs. However, the quality and integrity of the source data, study design and data analysis are of paramount importance if RWE is to have clinical utility and trustworthiness going forward. The two examples of real-world studies described here show how both retrospective and prospective data, including HRQoL data, can be collected across different countries to answer specific questions in T2D management, in this case the safety and effectiveness of SUs (particularly gliclazide) in T2D management. We encourage physicians to consider both RCT data and RWE when making treatment decisions for patients with T2D, since these two types of evidence provide complementary information about the likely effects of treatment in clinical practice.
References
Luce BR, Drummond M, Jonsson B, et al. EBM, HTA, and CER: clearing the confusion. Milbank Q. 2010;88:256–76.
de Lusignan S, Crawford L, Munro N. Creating and using real-world evidence to answer questions about clinical effectiveness. J Innov Health Inform. 2015;22:368–73.
Yang W, Zilov A, Soewondo P, Bech OM, Sekkal F, Home PD. Observational studies: going beyond the boundaries of randomized controlled trials. Diabetes Res Clin Pract. 2010;88:S3-9.
Ke C, Shah BR, Luk AO, Di Ruggiero E, Chan JCN. Cardiovascular outcomes trials in type 2 diabetes: time to include young adults. Diabetes Obes Metab. 2020;22:3–5.
Chan JCN, Lim LL, Wareham NJ, et al. The Lancet Commission on diabetes: using data to transform diabetes care and patient lives. Lancet. 2021;396:2019–82.
Sox HC, Greenfield S. Comparative effectiveness research: a report from the Institute of Medicine. Ann Intern Med. 2009;151:203–5.
Zaccardi F, Jacquot E, Cortese V, et al. Comparative effectiveness of gliclazide modified release versus sitagliptin as second-line treatment after metformin monotherapy in patients with uncontrolled type 2 diabetes. Diabetes Obes Metab. 2020;22:2417–26.
Lim LL, Lau ESH, Cheung JTK, et al. Real-world usage of sulphonylureas in Asian patients with type 2 diabetes using the Joint Asia Diabetes Evaluation (JADE) register. Diabetes Obes Metab. 2023;25:208–21.
Sherman RE, Anderson SA, Dal Pan GJ, et al. Real-world evidence—what is it and what can it tell us? N Engl J Med. 2016;375:2293–7.
Taur SR. Observational designs for real-world evidence studies. Perspect Clin Res. 2022;13:12–6.
Liu F, Panagiotakos D. Real-world data: a brief review of the methods, applications, challenges and opportunities. BMC Med Res Methodol. 2022;22:287.
Anzueto A, Kaplan A. Dual bronchodilators in chronic obstructive pulmonary disease: evidence from randomized controlled trials and real-world studies. Respir Med X. 2020;2: 100016.
Ford I, Norrie J. Pragmatic trials. N Engl J Med. 2016;375:454–63.
Vaccaro O, Masulli M, Nicolucci A, et al. Effects on the incidence of cardiovascular events of the addition of pioglitazone versus sulfonylureas in patients with type 2 diabetes inadequately controlled with metformin (TOSCA.IT): a randomised, multicentre trial. Lancet Diabetes Endocrinol. 2017;5:887–97.
Schneeweiss S, Patorno E. Conducting real-world evidence studies on the clinical outcomes of diabetes treatments. Endocr Rev. 2021;42:658–90.
Holman RR, Paul SK, Bethel MA, Matthews DR, Neil HA. 10-year follow-up of intensive glucose control in type 2 diabetes. N Engl J Med. 2008;359:1577–89.
European Association for the Study of Diabetes (EASD) Meeting Report. ADA/EASD type 2 diabetes consensus 2022: news from the 58th EASD Annual Meeting. J Diabetes Nurs. 2022;2022(26):256.
Davies MJ, Aroda VR, Collins BS, et al. Management of hyperglycaemia in type 2 diabetes, 2022. A consensus report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetologia. 2022;65:1925–66.
ElSayed NA, Aleppo G, Aroda VR, et al. 9. Pharmacologic approaches to glycemic treatment: standards of care in diabetes—2023. Diabetes Care. 2023;46:S140–57.
Pintat S, Fenici P, Hammar N, et al. Eligibility of patients with type 2 diabetes for sodium-glucose cotransporter 2 inhibitor cardiovascular outcomes trials: a global perspective from the DISCOVER study. BMJ Open Diabetes Res Care. 2019;7: e000627.
Wittbrodt ET, Eudicone JM, Bell KF, Enhoffer DM, Latham K, Green JB. Generalizability of glucagon-like peptide-1 receptor agonist cardiovascular outcome trials enrollment criteria to the US type 2 diabetes population. Am J Manag Care. 2018;24:S146–55.
Zinman B, Inzucchi SE, Lachin JM, et al. Rationale, design, and baseline characteristics of a randomized, placebo-controlled cardiovascular outcome trial of empagliflozin (EMPA-REG OUTCOME). Cardiovasc Diabetol. 2014;13:102.
Cannon CP, McGuire DK, Pratley R, et al. Design and baseline characteristics of the eValuation of ERTugliflozin effIcacy and Safety CardioVascular outcomes trial (VERTIS-CV). Am Heart J. 2018;206:11–23.
Neal B, Perkovic V, de Zeeuw D, et al. Rationale, design, and baseline characteristics of the CANagliflozin cardioVascular Assessment Study (CANVAS)—a randomized placebo-controlled trial. Am Heart J. 2013;166(2):217–223.e11.
Wiviott SD, Raz I, Bonaca MP, et al. The design and rationale for the Dapagliflozin Effect on Cardiovascular Events (DECLARE)-TIMI 58 Trial. Am Heart J. 2018;200:83–9.
Bentley-Lewis R, Aguilar D, Riddle MC, et al. Rationale, design, and baseline characteristics in evaluation of lixisenatide in acute coronary syndrome, a long-term cardiovascular end point trial of lixisenatide versus placebo. Am Heart J. 2015;169(5):631–8.e7.
Gerstein HC, Colhoun HM, Dagenais GR, et al. Design and baseline characteristics of participants in the Researching cardiovascular Events with a Weekly INcretin in Diabetes (REWIND) trial on the cardiovascular effects of dulaglutide. Diabetes Obes Metab. 2018;20:42–9.
Marso SP, Poulter NR, Nissen SE, et al. Design of the liraglutide effect and action in diabetes: evaluation of cardiovascular outcome results (LEADER) trial. Am Heart J. 2013;166(5):823–30.e5.
Marso SP, Bain SC, Consoli A, et al. Semaglutide and cardiovascular outcomes in patients with type 2 diabetes. N Engl J Med. 2016;375:1834–44.
Holman RR, Bethel MA, George J, et al. Rationale and design of the EXenatide Study of Cardiovascular Event Lowering (EXSCEL) trial. Am Heart J. 2016;174:103–10.
Green JB, Hernandez AF, D’Agostino RB, et al. Harmony Outcomes: a randomized, double-blind, placebo-controlled trial of the effect of albiglutide on major cardiovascular events in patients with type 2 diabetes mellitus—rationale, design, and baseline characteristics. Am Heart J. 2018;203:30–8.
Colling C, Atlas SJ, Wexler DJ. Application of 2021 American Diabetes Association glycemic treatment clinical practice recommendations in primary care. Diabetes Care. 2021;44:1443–6.
Dennis JM. Precision medicine in type 2 diabetes: using individualized prediction models to optimize selection of treatment. Diabetes. 2020;69:2075–85.
Rosenstock J, Kahn SE, Johansen OE, et al. Effect of linagliptin vs glimepiride on major adverse cardiovascular outcomes in patients with type 2 diabetes: the CAROLINA randomized clinical trial. JAMA. 2019;322:1155–66.
GRADE Study Research Group, Nathan DM, Lachin JM, et al. Glycemia reduction in type 2 diabetes—glycemic outcomes. N Engl J Med. 2022;387:1063–74.
Elliott L, Fidler C, Ditchfield A, Stissing T. Hypoglycemia event rates: a comparison between real-world data and randomized controlled trial populations in insulin-treated diabetes. Diabetes Ther. 2016;7:45–60.
Edridge CL, Dunkley AJ, Bodicoat DH, et al. Prevalence and incidence of hypoglycaemia in 532,542 people with type 2 diabetes on oral therapies and insulin: a systematic review and meta-analysis of population based studies. PLoS ONE. 2015;10:e0126427.
Hassanein M, Al Sifri S, Shaikh S, et al. A real-world study in patients with type 2 diabetes mellitus treated with gliclazide modified-release during fasting: DIA-RAMADAN. Diabetes Res Clin Pract. 2020;163: 108154.
Nauck MA, Jensen TJ, Rosenkilde C, Calanna S, Buse JB. Neoplasms reported with liraglutide or placebo in people with type 2 diabetes: results from the LEADER randomized trial. Diabetes Care. 2018;41:1663–71.
Hegedüs L, Sherman SI, Tuttle RM, et al. No evidence of increase in calcitonin concentrations or development of c-cell malignancy in response to liraglutide for up to 5 years in the LEADER trial. Diabetes Care. 2018;41:620–2.
Bethel MA, Patel RA, Thompson VP, et al. Changes in serum calcitonin concentrations, incidence of medullary thyroid carcinoma, and impact of routine calcitonin concentration monitoring in the EXenatide Study of Cardiovascular Event Lowering (EXSCEL). Diabetes Care. 2019;42:1075–80.
Alves C, Batel-Marques F, Macedo AF. A meta-analysis of serious adverse events reported with exenatide and liraglutide: acute pancreatitis and cancer. Diabetes Res Clin Pract. 2012;98:271–84.
Wong CKH, Man KKC, Chan EWY, et al. DPP4i, thiazolidinediones, or insulin and risks of cancer in patients with type 2 diabetes mellitus on metformin-sulfonylurea dual therapy with inadequate control. BMJ Open Diabetes Res Care. 2020;8: e001346.
Bezin J, Gouverneur A, Penichon M, et al. GLP-1 receptor agonists and the risk of thyroid cancer. Diabetes Care. 2023;46:384–90.
Mali G, Ahuja V, Dubey K. Glucagon-like peptide-1 analogues and thyroid cancer: an analysis of cases reported in the European pharmacovigilance database. J Clin Pharm Ther. 2021;46:99–105.
US Food and Drug Administration. FDA drug safety communication: updated FDA review concludes that use of type 2 diabetes medicine pioglitazone may be linked to an increased risk of bladder cancer. 2016. https://www.fda.gov/drugs/drug-safety-and-availability/fda-drug-safety-communication-updated-fda-review-concludes-use-type-2-diabetes-medicine-pioglitazone. Accessed Apr 26, 2023.
Tang H, Shi W, Fu S, et al. Pioglitazone and bladder cancer risk: a systematic review and meta-analysis. Cancer Med. 2018;7:1070–80.
Yan H, Xie H, Ying Y, et al. Pioglitazone use in patients with diabetes and risk of bladder cancer: a systematic review and meta-analysis. Cancer Manag Res. 2018;10:1627–38.
Lewis JD, Habel LA, Quesenberry CP, et al. Pioglitazone use and risk of bladder cancer and other common cancers in persons with diabetes. JAMA. 2015;314:265–77.
Stefano GB, Challenger S, Kream RM. Hyperglycemia-associated alterations in cellular signaling and dysregulated mitochondrial bioenergetics in human metabolic disorders. Eur J Nutr. 2016;55:2339–45.
Mao D, Lau ESH, Wu H, et al. Risk associations of long-term HbA1c variability and obesity on cancer events and cancer-specific death in 15,286 patients with diabetes—a prospective cohort study. Lancet Reg Health West Pac. 2022;18: 100315.
Yang A, Lau ESH, Wu H, et al. Attenuated risk association of end-stage kidney disease with metformin in type 2 diabetes with eGFR categories 1–4. Pharmaceuticals (Basel). 2022;15:1140.
Yang A, Wu H, Lau ESH, et al. Effects of RAS inhibitors on all-site cancers and mortality in the Hong Kong diabetes surveillance database (2002–2019). EBioMedicine. 2022;83: 104219.
Bakker E, Plueschke K, Jonker CJ, Kurz X, Starokozhko V, Mol PGM. Contribution of real-world evidence in European Medicines Agency’s regulatory decision making. Clin Pharmacol Ther. 2023;113:135–51.
US Congress. 21st Century Cures Act. 2016. https://www.congress.gov/114/plaws/publ255/PLAW-114publ255.pdf. Accessed Apr 26, 2023.
US Food and Drug Administration. Framework for FDA's real-world evidence program. 2018. https://www.fda.gov/media/120060/download. Accessed Apr 26, 2023.
McCarney R, Warner J, Iliffe S, van Haselen R, Griffin M, Fisher P. The Hawthorne effect: a randomised, controlled trial. BMC Med Res Methodol. 2007;7:30.
Krass I, Schieback P, Dhippayom T. Adherence to diabetes medication: a systematic review. Diabet Med. 2015;32:725–37.
Polonsky WH, Arora R, Faurby M, Fernandes J, Liebl A. Higher rates of persistence and adherence in patients with type 2 diabetes initiating once-weekly vs daily injectable glucagon-like peptide-1 receptor agonists in US clinical practice (STAY Study). Diabetes Ther. 2022;13:175–87.
Khunti K, Seidu S, Kunutsor S, Davies M. Association between adherence to pharmacotherapy and outcomes in type 2 diabetes: a meta-analysis. Diabetes Care. 2017;40:1588–96.
Karagiannis T, Avgerinos I, Toumpalidou M, et al. Patients’ and clinicians’ preferences on outcomes and medication attributes for type 2 diabetes: a mixed-methods study. J Gen Intern Med. 2020. https://doi.org/10.1007/s11606-019-05608-0.
Barua L, Faruque M, Chowdhury HA, Banik PC, Ali L. Health-related quality of life and its predictors among the type 2 diabetes population of Bangladesh: a nation-wide cross-sectional study. J Diabetes Investig. 2021;12:277–85.
Oluchi SE, Manaf RA, Ismail S, Kadir Shahar H, Mahmud A, Udeani TK. Health related quality of life measurements for diabetes: a systematic review. Int J Environ Res Public Health. 2021;18:9245.
Leal J, Becker F, Feenstra T, et al. Health-related quality of life for normal glycaemia, prediabetes and type 2 diabetes mellitus: cross-sectional analysis of the ADDITION-PRO study. Diabet Med. 2022;39: e14825.
Pati S, Pati S, Akker MVD, Schellevis FFG, Jena S, Burgers JS. Impact of comorbidity on health-related quality of life among type 2 diabetic patients in primary care. Prim Health Care Res Dev. 2020;21:e9.
International Diabetes Federation. IDF diabetes atlas, 10th edn. 2021. Brussels, Belgium. https://www.diabetesatlas.org/. Accessed Apr 26, 2023.
Gomes MB, Rathmann W, Charbonnel B, et al. Treatment of type 2 diabetes mellitus worldwide: baseline patient characteristics in the global DISCOVER study. Diabetes Res Clin Pract. 2019;151:20–32.
Khunti S, Khunti K, Seidu S. Therapeutic inertia in type 2 diabetes: prevalence, causes, consequences and methods to overcome inertia. Ther Adv Endocrinol Metab. 2019;10:2042018819844694.
Lambert-Obry V, Lafrance JP, Savoie M, Henri S, Lachaine J. Review of real-world evidence studies in type 2 diabetes mellitus: lack of good practices. Int J Technol Assess Health Care. 2020:36(4):372–9. https://doi.org/10.1017/S0266462320000392.
Proks P, Reimann F, Green N, Gribble F, Ashcroft F. Sulfonylurea stimulation of insulin secretion. Diabetes. 2002;51:S368–76.
Kalra S. Sodium glucose co-transporter-2 (SGLT2) inhibitors: a review of their basic and clinical pharmacology. Diabetes Ther. 2014;5:355–66.
Qian D, Zhang T, Tan X, et al. Comparison of antidiabetic drugs added to sulfonylurea monotherapy in patients with type 2 diabetes mellitus: a network meta-analysis. PLoS ONE. 2018;13: e0202563.
Demir T, Almalki MH, Nicodemus NA, et al. Benefit of adding an SGLT2i to gliclazide MR: protocol for a chart review combined with patients’ survey and interview [abstract LI2022-0892]. Presented at IDF World Diabetes Congress. 2022.
Chan JCN, Lim LL, Luk AOY, et al. From Hong Kong Diabetes Register to JADE Program to RAMP-DM for data-driven actions. Diabetes Care. 2019;42:2022–31.
Chan SP, Colagiuri S. Systematic review and meta-analysis of the efficacy and hypoglycemic safety of gliclazide versus other insulinotropic agents. Diabetes Res Clin Pract. 2015;110:75–81.
Landman GW, de Bock GH, van Hateren KJ, et al. Safety and efficacy of gliclazide as treatment for type 2 diabetes: a systematic review and meta-analysis of randomized trials. PLoS ONE. 2014;9: e82880.
Schernthaner G, Grimaldi A, Di Mario U, et al. GUIDE study: double-blind comparison of once-daily gliclazide MR and glimepiride in type 2 diabetic patients. Eur J Clin Invest. 2004;34:535–42.
EuroQoL Research Foundation. EQ-5D-3L user guide, version 6.0. 2018. https://euroqol.org/wp-content/uploads/2021/01/EQ-5D-3LUserguide-14-0421.pdf. Accessed Apr 26, 2023.
Lim LL, Lau ESH, Pheng Chan S, et al. Real-world evidence on health-related quality of life in patients with type 2 diabetes mellitus using sulphonylureas: an analysis of the Joint Asia Diabetes Evaluation (JADE) Register. Diabetes Res Clin Pract. 2023. https://doi.org/10.1016/j.diabres.2023.110855.
Khunti K, Chatterjee S, Gerstein HC, Zoungas S, Davies MJ. Do sulphonylureas still have a place in clinical practice? Lancet Diabetes Endocrinol. 2018;6:821–32.
Colagiuri S, Matthews D, Leiter LA, Chan SP, Sesti G, Marre M. The place of gliclazide MR in the evolving type 2 diabetes landscape: a comparison with other sulfonylureas and newer oral antihyperglycemic agents. Diabetes Res Clin Pract. 2018;143:1–14.
Kalra S, Aamir AH, Raza A, et al. Place of sulfonylureas in the management of type 2 diabetes mellitus in South Asia: a consensus statement. Indian J Endocrinol Metab. 2015;19:577–96.
Acknowledgements
Authorship
All named authors meet the International Committee of Medical Journal Editors (ICMJE) criteria for authorship for this article, take responsibility for the integrity of the work as a whole, and have given their approval for this version to be published. The opinions expressed in the manuscript are those of the authors.
Author Contributions
Kamlesh Khunti, Mussa Almalki, Juliana CN Chan and Aslam Amod all contributed to the study conception and drafting of the manuscript. All authors commented on previous versions of the manuscript and read and approved the final manuscript.
Funding
The meeting symposium, editorial assistance for the preparation of this article, and Rapid Service Fee for publication were funded by Servier.
Medical Writing, Editorial, and Other Assistance
Editorial assistance in the preparation of this article was provided by Sarah Greig, PhD, CMPP, of Springer Healthcare Communications, who prepared the first draft of the manuscript, and Catherine Rees who provided assistance with post-submission revisions on behalf of Springer Healthcare Communications. Support for this assistance was funded by Servier.
Ethical Approval
The symposium was based on previously conducted studies and did not contain any new studies with human participants or animals performed by any of the authors.
Conflict of Interest
Kamlesh Khunti has acted as a consultant, speaker or received grants for investigator-initiated studies for AstraZeneca, Bayer, Novartis, Novo Nordisk, Sanofi-Aventis, Eli Lilly, Merck Sharp & Dohme, Boehringer Ingelheim, Oramed Pharmaceuticals, Roche and Applied Therapeutics; and has received support from the National Institute for Health Research (NIHR) Applied Research Collaboration East Midlands (ARC EM) and the NIHR Leicester Biomedical Research Centre (BRC). Juliana CN Chan has received grants and/or honoraria for consultancy or giving lectures from Applied Therapeutics, AstraZeneca, Bayer, Boehringer Ingelheim, Celltrion, Eli Lilly, Hua Medicine, Lee Powder, Merck, MSD, Pfizer, Sanofi, Servier and Viatris Pharmaceutical; is the chief executive officer (pro bono) of the Asia Diabetes Foundation that designed and implemented the JADE platform; and is the co-founder of GemVCare, a biotech start-up company, with partial support from the Hong Kong Government. All authors received an honorarium from Servier, France, for their participation in the symposium.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/.
About this article
Cite this article
Khunti, K., Almalki, M., Chan, J.C.N. et al. The Role of Real-World Evidence in Treatment Decision-Making, Regulatory Assessment, and Understanding the Perspectives of People with Type 2 Diabetes: Examples with Gliclazide MR. Diabetes Ther 14, 1609–1625 (2023). https://doi.org/10.1007/s13300-023-01458-6
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13300-023-01458-6